Lead of Applied AI
Peregrine Technologies
Backed by leading Silicon Valley investors, Peregrine helps the world’s most complex organizations solve their hardest problems with unprecedented speed and accuracy. Our AI-enabled platform turns siloed and disconnected data into operational intelligence—instantly surfacing mission-critical information to empower better, faster decisions that improve outcomes at every touchpoint. Today, Peregrine supports hundreds of customers across 23 states and two countries, serving more than 90 million people—and we’re amplifying our impact as we expand into more industries.
We’re a team of entrepreneurs—undaunted by the hard problems and united by a passion to make a difference where it matters most. We collaborate relentlessly, move with urgency, and act with purpose. If you’re driven by mission and energized by the opportunity to build something new, join us in defining Peregrine’s future.
The Role
Peregrine builds an end-to-end intelligence platform. As the Lead of Applied AI, you will own how artificial intelligence is applied, evaluated, and operationalized across our product, turning complex data into trusted, explainable, and high-impact capabilities used in the field.
This role is about production AI in high-consequence environments. You’ll lead to develop AI-powered features that help customers detect risk, surface insights, and make faster, better decisions while maintaining high reliability, transparency, and performance.
What You’ll Do
Build AI-Powered Product Capabilities
- Lead the design and deployment of customer facing AI features across Peregrine’s platform
- Translate real operational problems into deployable AI-powered solutions
- Partner deeply with Product, Deployment Strategists, and other Engineering teams to integrate AI into core workflows
AI/ML Foundations
- Own and guide fine tuning strategies and reinforcement learning to improve decision quality
- Make principled tradeoffs between classical ML, deep learning, and LLM-based approaches based on accuracy, latency, and risk
AI Infrastructure
- Shape Peregrine’s AI infrastructure, including:
- Training and inference pipelines
- Model serving, versioning, and rollback
- Integration with real-time and batch data systems
- Ensure models are observable, scalable, secure, and cost-effective in production
- Meet enterprise and government requirements
Evaluation, Trust, and Quality
- Define and operate robust evaluation frameworks
- Establish quality standards that reflect real-world decision impact, not just model accuracy
- Own monitoring, drift detection, and failure analysis for deployed models
Leadership & AI Strategy
- Build and lead a high-performing Applied AI/ML team
- Set technical direction for applied AI across Peregrine
- Partner with executive leadership on AI strategy, roadmap, and responsible deployment
What We’re Looking For
Required
- Demonstrated experience shipping AI-powered features into production, ideally in enterprise or mission critical environments
- Hands-on experience with model fine tuning (LLMs or deep learning models)
- Practical exposure to reinforcement learning
- Experience in designing and operating AI/ML infrastructure
- Direct ownership of model evaluation, experimentation, and quality measurement
- Strong software engineering fundamentals as a lead
Strong Plus
- Experience working with large scale and/or real-time data platforms.
- Background in domains where trust, explainability, and reliability matter (e.g., public sector, security, healthcare, finance)
- Led software engineering teams before
What Success Looks Like
- AI features are deeply embedded in Peregrine’s core product and relied on by customers
- AI is applied to generate outcomes that are measurable, monitored, and improving over time
- Make AI a force multiplier both internally and externally
Peregrine Technologies is committed to creating an inclusive environment for all employees. We celebrate diversity and are a proud equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
